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ClaudeWave

🥷 Engineering habits you already know, turned into skills Claude can run.

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Waza is a collection of eight structured subagent skills for Claude Code and other AI coding agents, each encoding a specific engineering workflow as a slash command or named invocation. The eight skills cover distinct phases of engineering work: `/think` pressure-tests a problem before any code is written, `/design` drives frontend UI iteration including screenshot-based aesthetic refinement, `/check` reviews diffs and handles release follow-through with evidence, `/hunt` requires root cause confirmation before applying any bug fix, `/write` rewrites prose in natural Chinese and English, `/learn` runs a six-phase research workflow from collection through self-review, `/read` routes URLs and PDFs through platform-specific logic to produce summaries or Markdown output, and `/health` audits agent configuration and AI maintainability with a budget-aware summary pass. Installation works via `npx skills add tw93/Waza` for Claude Code, Codex, OpenCode, and other agents, or through the Claude Code plugin marketplace on v2.1.143 and newer. Engineers who want consistent, opinionated workflows rather than ad-hoc prompting across multiple projects are the primary audience.

ClaudeWave Trust Score
100/100
Verified
Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Healthy fork ratio
  • Clear description
  • Topics declared
  • Documented (README)
Last scanned: 6/11/2026
Install as a Claude Code subagent
Method: Clone
Terminal
git clone https://github.com/tw93/Waza && cp Waza/*.md ~/.claude/agents/
1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
2. Start a new Claude Code session to load the agents.
3. Delegate work to them with the Task/Agent tool or by name.

8 items en este repositorio

checkSkill

Reviews code diffs, PRs, issue queues, release readiness, commits, pushes, publishing, and project audits. Use when users ask review/看看代码/合并前/看看issue/PR/release/push or to implement an approved plan, with safety gates for dirty and untracked worktrees. Not for exploring ideas, debugging root causes, or prose review.

Instalar
designSkill

Produces distinctive, production-grade UI for pages, components, visual interfaces, typography, and screenshot-driven polish. Use when users ask 设计/做页面/做组件/UI/前端/截图 or say a screen is ugly, unclear, inconsistent, or visually wrong. Not for backend logic or data pipelines.

Instalar
healthSkill

Runs a budget-aware agent-assisted engineering health audit for instruction/config drift, hooks/MCP, verifier surfaces, and AI maintainability. Use when users ask 检查claude/检查codex/检查pi/配置检查/健康度 or report agents ignoring instructions, missing validation, or code becoming hard to maintain. Not for debugging code or reviewing PRs.

Instalar
huntSkill

Finds root cause before applying fixes for errors, crashes, regressions, failing tests, broken behavior, and screenshot-reported defects. Use when users ask 排查/报错/崩溃/不工作/回归/判断为什么报错, or say something used to work and now fails. Not for code review or new features.

Instalar
learnSkill

Runs a six-phase research workflow that turns unfamiliar domains, source bundles, or collected material into publish-ready output. Use when users ask 学习一下/深入研究/研究一下/整理成文章/deep dive/compile sources or need one coherent reference from many inputs. Not for quick lookups or single-file reads.

Instalar
readSkill

Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask 看这个链接/读一下/read this/check this URL. Not for local text files already in the repo.

Instalar
thinkSkill

Turns rough ideas into approved, decision-complete plans with validated structure before coding. Use when users ask 出方案/给方案/深入分析/怎么设计/有没有必要/值不值得/plan this/how should I/should we keep this for features, architecture, or value judgments. Not for bug fixes or small edits.

Instalar
writeSkill

Rewrites and polishes prose in Chinese or English, removes AI-like wording, and reviews product localization copy while preserving intent for drafts, docs, release notes, launch copy, and social posts. Use when users ask 帮我写/改稿/润色/去AI味/写一段/审稿/本地化文案/tweet/rewrite/proofread. Not for code comments, commit messages, or inline docs.

Instalar
Casos de uso

Resumen de Subagents

<div align="center">
  <img src="https://gw.alipayobjects.com/zos/k/2h/waza.svg" width="120" />
  <h1>Waza</h1>
  <p><b>Engineering habits you already know, turned into skills AI agents can run.</b></p>
  <a href="https://github.com/tw93/Waza/actions/workflows/test.yml"><img src="https://img.shields.io/github/actions/workflow/status/tw93/Waza/test.yml?branch=main&style=flat-square&label=tests" alt="Tests"></a>
  <a href="https://github.com/tw93/Waza/stargazers"><img src="https://img.shields.io/github/stars/tw93/Waza?style=flat-square" alt="Stars"></a>
  <a href="https://github.com/tw93/Waza/releases"><img src="https://img.shields.io/github/v/tag/tw93/Waza?label=version&style=flat-square" alt="Version"></a>
  <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg?style=flat-square" alt="License"></a>
  <a href="https://twitter.com/HiTw93"><img src="https://img.shields.io/badge/follow-Tw93-red?style=flat-square&logo=Twitter" alt="Twitter"></a>
</div>

<br/>

## Why

Waza (技, わざ) is a Japanese martial arts term for technique: a move practiced until it becomes instinct.

A good engineer does not just write code. They think through requirements, review their own work, debug systematically, design interfaces that feel intentional, and read primary sources. They write clearly, and learn new domains by producing output, not consuming content.

AI is more capable than most engineers at raw output. But without structure, that capability drifts into generic, imprecise work. Waza channels it into precision: eight skills that set clear goals and constraints, then let the model do what it does best.

Part of a trilogy: [Kaku](https://github.com/tw93/Kaku) (書く) writes code, [Waza](https://github.com/tw93/Waza) (技) drills habits, [Kami](https://github.com/tw93/Kami) (紙) ships documents. Think of them as a family: Kaku is the dad, Waza the big sister, Kami the little sister.

<div align="center">
  <img src="https://gw.alipayobjects.com/zos/k/qa/waza_repaired_v4.svg" width="1000" />
</div>

## Skills

Each engineering habit gets an installed skill. In Claude Code, type the slash command. In Codex, invoke the installed skill by name and follow the same playbook.

| Skill | When | What it does |
| :--- | :--- | :--- |
| [`/think`](skills/think/SKILL.md) | Before building anything new | Challenges the problem, pressure-tests the design, and produces a decision-complete plan another agent can implement. |
| [`/design`](skills/design/SKILL.md) | Building frontend interfaces | Produces distinctive UI, including screenshot-driven aesthetic iteration, with a committed direction rather than generic defaults. |
| [`/check`](skills/check/SKILL.md) | After a task, before merging or release | Reviews the diff, extracts project-specific constraints, handles approved release/publish/push/reaction follow-through, and verifies with evidence. |
| [`/hunt`](skills/hunt/SKILL.md) | Any bug, regression, or unexpected behavior | Systematic debugging. Root cause confirmed before any fix is applied, especially when something used to work. |
| [`/write`](skills/write/SKILL.md) | Writing or editing prose | Rewrites prose to sound natural in Chinese and English. Cuts stiff, formulaic phrasing. |
| [`/learn`](skills/learn/SKILL.md) | Diving into an unfamiliar domain | Six-phase research workflow: collect, digest, outline, fill in, refine, then self-review and publish. |
| [`/read`](skills/read/SKILL.md) | Any URL or PDF | Reads URLs and PDFs with platform-specific routing. Plain reads return a concise summary; Markdown output is used when asked to convert, quote, cite, save, or feed downstream work. |
| [`/health`](skills/health/SKILL.md) | Auditing Agent Health | Checks Codex, Claude Code, project instructions, verifier output, and AI maintainability with a budget-aware summary pass before deep inspection. |

Each skill is a folder with reference docs, helper scripts, and gotchas from real failures.

## Install and Update

Most users should install Waza globally, so the same skills are available in every project.

**Claude Code**

```bash
npx skills add tw93/Waza -a claude-code -g -y
```

This installs `/think`, `/design`, `/check`, `/hunt`, `/write`, `/learn`, `/read`, and `/health`. Install just one with `npx skills add tw93/Waza --skill think -a claude-code -g -y`.

**Codex**

```bash
npx skills add tw93/Waza -a codex -g -y
```

Install just one with `npx skills add tw93/Waza --skill think -a codex -g -y`. Codex sessions can invoke installed skills by name or link to the installed `SKILL.md` path shown by `npx skills path tw93/Waza`.

**Antigravity**

```bash
npx skills add tw93/Waza -a antigravity -g -y
npx skills add tw93/Waza -a antigravity-cli -g -y
```

Use `antigravity` for the desktop app and `antigravity-cli` for the terminal agent. Both use Waza's standard `skills/<name>/SKILL.md` layout through the skills installer.

**OpenCode**

```bash
npx skills add tw93/Waza -a opencode -g -y
```

OpenCode loads Waza through its native skill tool after installation. Invoke the skills by name when the task matches `think`, `design`, `check`, `hunt`, `write`, `learn`, `read`, or `health`.

**Claude Code plugin marketplace** (single-skill entries require Claude Code v2.1.143+)

```bash
/plugin marketplace add tw93/Waza
/plugin install waza@waza
```

This installs all eight skills. Install just one with `/plugin install waza-<name>@waza` (for example, `waza-think@waza`) on Claude Code v2.1.143 or newer.

**Claude Desktop**

Download [waza.zip](https://github.com/tw93/Waza/releases/latest/download/waza.zip), open Customize > Skills > "+" > Create skill, and upload the ZIP.

**Pi coding agent**

```bash
pi install npm:@tw93/waza
```

Pi can load Waza's standard `skills/<name>/SKILL.md` layout from the repo or from the published `@tw93/waza` npm package, which exposes `pi.skills` metadata pointing at `./skills`. `/health` audits Pi settings, configured packages, and local skill roots alongside Claude Code and Codex.

**Update**

```bash
npx skills update -g -y
```

Marketplace installs use `claude plugin update <skill>`. Claude Desktop users can replace the old skill with the latest [waza.zip](https://github.com/tw93/Waza/releases/latest/download/waza.zip).
Pi users can run `pi update npm:@tw93/waza`, or `pi update --extensions` to update all installed Pi packages.
To hear about new versions, watch [GitHub Releases](https://github.com/tw93/Waza/releases) for Waza.

## Project Context

Waza keeps the generic programmer habits inside the public skill. `/check` becomes project-aware by reading the target repository's public context and the user's task constraints.

- Project commands come from README files, package manifests, Makefiles, CI workflows, and explicit user instructions.
- Project hard stops include generated artifacts, protected files, version synchronization, release assets, and domain-specific safety risks.
- Public docs and examples must not include credentials, certificate paths, private key filenames, tokens, or personal machine details.

See [`skills/check/references/project-context.md`](skills/check/references/project-context.md) for the review context template.

## Chaining Skills

Skills are designed to be chained together, but transitions are manual. Each skill stops after completing its task and waits for you to decide the next step.

**Common workflows:**

- **Design a feature**: `/think` → approve → say "implement X" → `/check` → merge
- **Ship a fix**: `/hunt` → fix → `/check` → release/publish/push/issue follow-through
- **Research and write**: `/read` (fetch sources) → `/learn` (synthesize) → `/write` (polish)
- **Debug and verify**: `/hunt` (find root cause) → fix → `/check` (review changes)

Each arrow represents a manual user action. Skills don't automatically trigger each other.

## Extras

### Statusline

A minimal statusline for Claude Code: context window, 5-hour quota, and 7-day quota. Color-coded by usage, no progress bars, no noise.

<div align="center">
  <img src="https://gw.alipayobjects.com/zos/k/y9/RUgevg.png" width="1000" />
</div>

```bash
curl -sL https://github.com/tw93/Waza/releases/latest/download/setup-statusline.sh | bash
```

**Codex** has native statusline items. Add to `~/.codex/config.toml`:

```toml
[tui]
status_line = ["model-with-reasoning", "current-dir", "context-used", "five-hour-limit", "weekly-limit"]
status_line_use_colors = true
```

Codex shows remaining quota; the Claude Code statusline above shows used percentage (upstream does not yet expose `five-hour-used` / `weekly-used`).

### English Coaching

Optional rule for English practice. When your prompt contains an English mistake, the agent appends a short 😇 correction; Chinese-only prompts stay untouched.

<div align="center">
  <img src="https://gw.alipayobjects.com/zos/k/24/vfkGOi.png" width="1000" />
</div>

```bash
# Claude Code
curl -sL https://github.com/tw93/Waza/releases/latest/download/setup-rule.sh | bash -s -- english claude-code

# Codex
curl -sL https://github.com/tw93/Waza/releases/latest/download/setup-rule.sh | bash -s -- english codex
```

### Anti-Patterns

Optional always-on guardrails for cross-skill behaviors: stop acting before reading, no hallucinated paths, no scope creep, no unsolicited summaries. Skill-agnostic, applies in every session.

```bash
curl -sL https://github.com/tw93/Waza/releases/latest/download/setup-rule.sh | bash -s -- anti-patterns claude-code
```

Use `codex` instead of `claude-code` for Codex. Curl URLs use the latest GitHub release asset. Set `WAZA_REF=main` before the command if you want bleeding-edge scripts.

### Routing Hint

Optional pointer that tells the host to prefer Waza skills when a request matches their triggers. Useful for Codex, Pi, and other agents that do not auto-route from skill `description`. Claude Code already routes through descriptions, so this is opt-in even there.

```bash
curl -sL https://github.com/tw93/Waza/releases/latest/download/setup-rule.sh |
claudeclaude-codedesdesignengineerlearskilskillssuperpowers

Lo que la gente pregunta sobre Waza

¿Qué es tw93/Waza?

+

tw93/Waza es subagents para el ecosistema de Claude AI. 🥷 Engineering habits you already know, turned into skills Claude can run. Tiene 5.7k estrellas en GitHub y se actualizó por última vez today.

¿Cómo se instala Waza?

+

Puedes instalar Waza clonando el repositorio (https://github.com/tw93/Waza) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar tw93/Waza?

+

Nuestro agente de seguridad ha analizado tw93/Waza y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene tw93/Waza?

+

tw93/Waza es mantenido por tw93. La última actividad registrada en GitHub es de today, con 0 issues abiertos.

¿Hay alternativas a Waza?

+

Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.

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